Objective
We have been developing a new diagnosis tool for cardiac arrhythmia. Our clients are expert cardiologists. They can use our Mobile App with a Smartphone or Tablet, easily and cost-efficiently. The App records the beeps of a heart rate monitor or takes a picture of the printout of an electrocardiogram (ECG), communicates with a server, and displays the result of the calculations as decision support for the medical expert.
Depending on the diagnosis of the medical expert either a long-term treatment with drugs or an operation follows. The correct diagnosis and proper treatment implies an increased life quality and a reduction of unnecessary drug side effects (for patients); avoidance of legal disputes and higher success rates (for doctors); reduced costs (for health insurance companies); and an increase in the number of profitable procedures (for providers of ablation technology). Alas, the misdiagnosis rate of expert cardiologists and of competing diagnosis tools so far is high. Studies report success rates of 50%. We showed in a peer-reviewed study that our success rate is almost 90%. We have received preliminary feedback from cardiologists in hospitals that our prototype works well and that they want to use it in their daily work. The diagnosis is a daily task for cardiologists in Europe, with an estimated number of one million diagnoses per year.
We have unique selling points and market entry barriers for competitors: our approach is based a) on a deep understanding of electrophysiological processes and the integration of the team into clinical practice and b) on sophisticated mathematical algorithms that are not easy to reimplement and further enhanced in the ERC Consolidator Grant MODEST and c) on a comfortable IPR situation (granted patent).
With isitFlutter we want to perform a multi-center test and adapt our product accordingly, evaluate competition and IPR, and extend our contacts with future customers, investors, and players in the market.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences clinical medicine cardiology cardiovascular diseases cardiac arrhythmia
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-POC - Proof of Concept Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2016-PoC
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
69115 HEIDELBERG
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.